646results about "Forest fire alarms" patented technology

The invention discloses a big data mining based integrated forest fire prevention informatization system. The big data mining based integrated forest fire prevention informatization system comprises a big data platform, and a multi-dimension perception subsystem, an early-warning prediction subsystem and a multi-hierarchy application subsystem, which are connected with the big data platform, respectively; the multi-dimension perception subsystem is used for acquiring various forest data, the big data platform is used for pre-processing and computing the data; the early-warning prediction subsystem can realize fire warning and prediction and forest fire spreading prediction; and the multi-hierarchy application subsystem is used for realizing forest resource planning, forest fire prevention management, and forest fire suppression dispatching and command. The big data mining based integrated forest fire prevention informatization system can realize multi-azimuth comprehensive monitoring on a forest, is used for mining and analyzing historical data and mass forestry data obtained by real-time monitoring to accurately predict forest fire and provide an early-warning function, can analyze the development tendency of the forest fire to provide aid in decision making, can put out the forest fire in an airland and multi-method manner, and can provide high-efficiency and accurate equipment and personnel assignment; and the system is integrated and has high informationization degree.

The invention discloses a stationary satellite-based fire remote sensing and monitoring method which solves the problem of automatic extraction of fire points in a forest and grassland, monitoring of a fire spreading situation and estimation of fire loss based on a stationary satellite. The method comprises the following steps: acquiring stationary satellite data, and calculating brightness temperature of image elements; judging latent fire point image elements from non-cloud and non-flare image elements in land image elements by using a method of a brightness temperature threshold value, and performing statistical judgment on the fire point image elements according to wave band information of background window image elements; culling out all-year-round high-temperature fire points based on a fixed fire point library and land utilization type data, and extracting positions and brightness temperatures of forest fire and grassland fire; providing a fire spreading situation sequence according to forest fire and grassland fire remote sensing and monitoring results of observation frequencies of the stationary satellite; estimating the loss caused by the forest fire or the grassland fire. The method disclosed by the invention quickly monitors a dynamic change of a disaster target, so that the efficiency for prewarning and emergently handling major disasters in China is further improved.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention discloses a smog fire detection method and a smog fire detection device. The smog fire detection method comprises steps that when a daytime mode is adopted, candidate smog pixel points are determined according to pixel values of pixel points in a frame of image; every suspected smog area is determined according to the candidate smog pixel points; according to the attribute information of the pixel points in every suspected smog area, target smog areas are determined; when a nighttime mode is adopted, suspected flame pixel points are determined according to the gray values of the pixel points in the fame of image; flame flickering areas are determined according to the gray values of the suspected flame pixel points; according to the attribute information of the pixel points in every flame flickering area, target flame areas are determined. According to the embodiments of the invention, when the daytime mode is adopted, the target smog areas are determined according to the attribute information of the pixel points in every suspected smog area; when the nighttime mode is adopted, the target flame areas are determined according to the attribute information of the pixel points in every flame flickering area, and the smog fire detection is more accurate.

A fire detector is disclosed that successively images a particular area from geosynchronous Earth orbit satellite to attain very good signal-to-noise ratios against Poisson fluctuations within one second. Differences between such images allow for the automatic detection of small fires greater than 12 square meters. Imaging typically takes place in transparent bands of the infrared spectrum, thereby rendering smoke from the fire and light clouds somewhat transparent. Several algorithms are disclosed that can help reduce false fire alarms, and their efficiencies are shown. Early fire detection and response would be of great value in the United States and other nations, as wild land fires destroy property and lives and contribute around five percent of the US global carbon dioxide contribution. Such apparatus would incorporate modern imaging detectors, software, and algorithms able to detect heat from early and small fires, and yield detection times on a scale of minutes.

The invention discloses a multi-data fusion forest fire intelligent recognition system. The system includes a thermal infrared imager, a digital camera, an ultrasonic meteorological station, a geographic information system and an upper computer, wherein the thermal infrared imager, the digital camera, the ultrasonic meteorological station and the geographic information system are connected with the upper computer; and the upper computer is provided with an artificial neural network and a fuzzy expert system, the artificial neural system analyzes infrared images collected by the thermal infrared imager and visible light images collected by the digital camera and transmits analyzed data to the fuzzy expert system for calculation of the probability of a forest fire, the ultrasonic meteorological station provides meteorological data of a forest, and the geographic information system provides geographic information. The invention provides a multi-data fusion forest fire intelligent recognition system and method, and the method fuses various data to make forest fire predictions, and can remarkably reduce a false recognition rate of forest fires, improve operating efficiency of the system, and reduce labor intensity of workers.

The invention belongs to the forest security protection technical field and discloses a forest fire alarm terminal and system. The forest fire alarm terminal includes a temperature and humidity sensor, a smoke sensor, an NB-IoT transmitting module, a control module, a power source and a support; the temperature and humidity sensor is used for detecting the temperature and humidity of a surrounding environment; the smoke sensor is used for detecting the smoke concentration of the surrounding environment; the NB-IoT transmitting module is used for transmitting fire alarm warning information; and the control module is connected with the temperature and humidity sensor, the smoke sensor, the fire alarm transmitting module and the power source and is used for controlling the NB-IoT transmitting module to transmit the fire alarm warning information when the temperature, humidity or smoke concentration of the surrounding environment exceeds a preset temperature alarm threshold value, a preset humidity threshold value and a preset smoke concentration threshold value. With the forest fire alarm terminal and system of the invention adopted, the accuracy, reliability, timeliness, working efficiency and alarm effect of forest fire monitoring and alarm can be improved.

An embodiment of the invention discloses a double-spectrum forest fire disaster monitoring method and a double-spectrum forest fire disaster monitoring device based on an infrared-visible light image. The double-spectrum forest fire disaster monitoring method comprises the steps of acquiring an infrared image and a visible light image of a current scene; determining a suspected fire point mark area in the infrared image; mapping the suspected fire point mark area to a corresponding position in the visible light image, and obtaining an interested area in the visible light image; verifying an image in the interested area, and determining whether a real fire point exists in the current scene according to a verification result. According to the double-spectrum forest fire disaster monitoring method and the double-spectrum forest fire disaster monitoring device, advantages in infrared image identification and advantages in visible light image identification are combined, and an interference caused by objects which have appearances similar with flame and radiation energy that is different from that of the flame to determination result can be prevented, thereby improving accuracy. Furthermore only the image in the interested area in the visible light image is verified, thereby reducing calculation amount, improving efficiency and ensuring high real-time performance in fire disaster monitoring.

The invention discloses an intelligent monitoring and warning system for forest fire prevention, comprising a center control device terminal, a plurality of relay devices, and a plurality of front-end acquisition systems. Each relay device is in butt joint with a plurality of front-end acquisition systems distributed around the relay device in a wired or wireless transmission way, and the relay devices are in butt joint with the center control device terminal in a wired or wireless transmission way. The system provides a monitoring control function for monitoring control personnel. Under normal circumstances, when a camera is driven by a holder to work in a wide-field automatic scanning mode, observers can observe the live images of forest, roads and persons in a certain range in the monitoring center, and the system can record a video of the whole process. If there is an abnormal situation, the staff switches the camera from an automatic state to a manual state in time, and tracks, positions and amplifies a related target in order to observe the target more carefully and thoroughly.

The invention discloses a forest fire pre-warning method and system based on deep learning and belongs to the field of firefighting safety. The method comprises: S1, allowing an unmanned aerial vehicle to sense, in real time, temperature and humidity information of a driving area, taking a forest image of the driving area, transmitting the forest image to a ground station; synchronously transmitting locational information to the ground station; S2, judging fire pre-warning according to the temperature and humidity information, and transmitting a fire pre-warning signal to the ground station; S3, allowing the ground station to receive the fire pre-warning signal, and using a deep learning algorithm to process the forest image to obtain whether a fire is about to occur or whether fire results are present; S4, transmitting fire information to a forest management center. The temperature and humidity information is sensed and subjected to comparison; visual judgment is made on chances for afire to occur; if chances for the fire to occur are great, the forest image is processed via the deep learning algorithm; fire pre-occurrence and post-occurrence conditions can be precisely recognized; it is convenient for relevant personnel to accurately acquire fire conditions in the first place.

The invention relates to a forest fire detection platform based on satellite remote sensing images. The forest fire detection platform comprises a ground receiving station, a ground processing station and a fire alarm system. The ground receiving station is used for receiving and recording the satellite remote sensing images. The ground processing station is connected with the ground receiving station and used for processing the satellite remote sensing images and identifying flame images in the satellite remote sensing images. The fire alarm system is connected with the ground processing station and used for realizing forest fire alarms at different levels according to the areas of the flame images. Through the forest fire detection platform based on the satellite remote sensing images, the remote sensing images of all positions of a forest can be obtained in a satellite remote sensing mode, the flame images are identified by analyzing the obtained remote sensing images, and the hierarchical forest fire alarms are given according to the areas of the flame images.

A method and apparatus for managing a location (1006). Soil sensor units (1028) are deployed in the location (1006) in a forest (1002) from a group of aerial vehicles. Information (1004) is generated about a number of soil conditions (1017) in the location (1006) in the forest (1002) using the soil sensor units (1028) in the location (1006). The information (1004) is transmitted from the soil sensor units (1028) to a remote location (1006) for analysis.

The invention discloses a forest fire early warning method and system based on a fuzzy Bayesian network and belongs to the fire-fighting safety field. The method comprises the following steps that anunmanned aerial vehicle is equipped with a plurality of sensors to inspect a forest along a set route, senses data of a driving area in real time and sends the data to a ground station; the ground station combines the number of local sunny days and the number of flammable plants to carry out stage treatment on flammable grades, and carries out early judgment of fire warning according to temperature, humidity, smoke and gas information; the ground station receives the data of each sensor, then uses a fuzzy Bayesian network to process the sensor data, and calculates and acquires a fire occurrence probability; when the probability of the fire is high, the ground station sends a fire warning signal, whether there is the fire, a real-time situation of the fire and location information to a forest management center; and when the probability of the fire is low, the unmanned aerial vehicle flies at the same height along the set route. In the invention, a fuzzy Bayesian network algorithm is used to process the sensor data, the fire probability can be accurately calculated so that correlation personnel can accurately acquire a fire condition at first time.

The forest fire monitoring system includes the following main parts; several forest monitoring spots provided with cradle head, which is provided with zoom digital camera controlled remotely by the control center for shooting angle, microwave transceiving antenna, microwave unit, microwave modem and image codec; control center provided with microwave transceiving antenna, microwave unit, microwave modem, image codec, large screen display, and system unit; and microwave network for information transmission between the control center and the monitoring spots. The control central receives the real-time image signals collected by the cameras via the microwave network and sends control signal for the cameras to operate correspondingly.

The invention relates to a forest fire prevention video monitoring and early warning system based on an electronic government affair network platform, which is composed of a front-end system, a transmission system and a main control center platform. The forest fire prevention video monitoring and early warning integrated management system with a software registration number No. 0809910 is applied to the electronic government affair network, three-level networking between a province-level monitoring center, a city-level monitoring center and a county-level monitoring center can be realized, automatic warning and automatic positioning of a forest fire are realized, and the warning accuracy is improved to the maximal degree.

The invention relates to an infrared thermal imaging-based forest fire prevention monitoring system and an information fusion method and belongs to the fire early warning technical field. The objective of the invention is to solve the problem of frequent omitted warning and wrong warning caused by difficulty in forest fire monitoring. A thermal imaging and infrared image pickup integrated machine is installed on a pan-tilt holder; the pan-tilt holder is fixed in an area to be monitored; the input end of an encoder is connected with the thermal imaging and infrared image pickup integrated machine; the output end of the encoder is connected with an external wireless bridge; the input end of a remote monitoring device is connected with a wireless bridge in a monitoring center; the output end of the remote monitoring device is connected with an image analysis processor; the image analysis processor is connected with a sound-light alarm device; and the remote monitoring device is connected with a data storage server. The information fusion method of the invention includes the following steps that: a) the real-time thermal images and real-time images of a monitoring area are obtained; b) image processing is carried out; c) whether anomalies exist is judged; and d) alarm signals are emitted. With the infrared thermal imaging-based forest fire prevention monitoring system and an information fusion method of the invention adopted, the accuracy rate of forest fire alarm can be improved.

The invention relates to an early warning and emergent processing system for forest fire. The system comprises a plurality of observation points, an image transmission system, a command center and an unmanned aerial vehicle formation, wherein the observation points include a video image processing device equipped with a low-luminance image sensor and an infrared detector; the video image processing device is used for fusing a plurality of video images which are respectively collected by the low-luminance image sensor and the infrared detector from a monitored forest in real time and acquiring an accurately positioned video image; the image transmission system is used for transmitting a video image through a transmitter and a satellite receiver; the command center is used for receiving the video image, judging if the fire hazard exists according to the video image and issuing an extinguishing instruction if the fire hazard exists; and the unmanned aerial vehicle formation comprises a plurality of unmanned aerial vehicles which receive and execute the extinguishing instruction from the command center. The low-luminance image sensor and the infrared detector are used as monitoring devices, and the images collected by the low-luminance image sensor and the infrared detector are fused, so that the effectiveness and accuracy of fire monitoring can be increased; and the unmanned aerial vehicle visual technology and the GIS positioning system are combined for realizing all-weather all-time monitoring.